Fuel Cell Microturbine Hybrid System Analysis Through Different Uncertainty Quantification Methods | Zendy

Alessio Abrassi | Zendy; Alessandra Cuneo | Zendy; David Tucker | Zendy; Alberto Traverso | Zendy

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Fuel Cell Microturbine Hybrid System Analysis Through Different Uncertainty Quantification Methods

Author(s) -

Alessio Abrassi,

Alessandra Cuneo,

David Tucker,

Alberto Traverso

Publication year - 2017

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.1115/gt2017-63178

Subject(s) - monte carlo method , polynomial chaos , black box , sensitivity (control systems) , computer science , solid oxide fuel cell , uncertainty analysis , propagation of uncertainty , recuperator , polynomial , mathematical optimization , control theory (sociology) , simulation , algorithm , engineering , electronic engineering , mathematics , mechanical engineering , mathematical analysis , statistics , chemistry , heat exchanger , control (management) , electrode , anode , artificial intelligence

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